Senior Backend Engineer

Benji; New York (NY); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Health, dental, vision

Flexible work environment

Competitive salary + equity

Job summary

The Benji Group in New York, NY is seeking a Senior Backend Engineer (or full stack with backend emphasis) to own core platform services and shape AI-native software at scale.

You will design Python microservices for campaigns, users, rewards, and partner integrations, guide event-driven workflows, and define engineering standards for AI-powered workflows across the team.

Join a small, high-ownership team building enterprise loyalty infrastructure.

Qualifications

• 7+ years of backend or full-stack experience with a backend focus.
• Strong Python backend experience and distributed systems knowledge.
• Experience with AWS services and building AI-enabled workflows.

Responsibilities

• Design, build, and extend Python-based microservices.
• Own event-driven workflows and cross-service orchestration.
• Integrate with partners, loyalty programs, and payment platforms.
• Define AI-native engineering standards and agent tooling.

Skills

Python backend

Distributed systems

API design

AWS

LLMs

Tools

ECS Fargate

Aurora PostgreSQL

Redis

S3

Elasticsearch

Job description

About Benji

Benji is building the infrastructure layer for loyalty and brand connectivity. We enable companies to integrate, launch, and scale loyalty experiences across partners through a single platform—turning fragmented ecosystems into programmable networks. We work with leading enterprise brands and move fast to bring new partnerships and integrations to life.

The role

We’re looking for a Senior Backend Engineer (or full stack with a strong backend emphasis) to own core platform services and help define how we build software in an AI-native way.

This role sits at the intersection of:

• Backend platform engineering
• Distributed systems & event-driven architecture
• Partner integrations & API design
• AI-powered engineering workflows

You will:

• Design, build, and extend Benji’s Python microservices across campaigns, users, rewards, orders, and partner integrations
• Own event-driven workflows, data integrity, and cross-service orchestration at production scale
• Build and evolve AI-native engineering standards - agents, MCP tooling, and LLM-powered product workflows

This is not a maintenance role - you’ll be building the core infrastructure that powers loyalty flows for enterprise brands.

What You’ll Do

1. Build & Own Core Platform Services

• Design, build, and extend Benji’s backend microservices using our layered architecture
• Build and maintain Python based APIs with OpenAPI docs, authentication, and strict schema contracts
• Implement event-driven workflows via messaging brokers
• Own relational and non relational schema design, migrations, and data integrity across services
• Extend shared platform libraries and uphold cross-service conventions

2. Integrate with Partners & External Systems

• Build reliable integrations with loyalty programs, payment platforms, and commerce systems (REST, OAuth, webhooks)
• Handle real-world edge cases: rate limits, retries, idempotency, reconciliation, and data inconsistencies
• Design abstractions that normalize messy partner APIs into clean Benji domain models
• Own webhook delivery, token lifecycle, and secure credential handling

3. Operate at Production Scale on AWS

• Deploy and operate services such as ECS Fargate, Aurora PostgreSQL, Redis, S3, and Elasticsearch
• Work with Terraform to evolve infrastructure as the platform grows
• Instrument services with OpenTelemetry and structured logging
• Own integration tests and maintain high confidence in cross-service behavior

4. Build AI-Native Engineering Workflows

• Design and maintain agent-ready engineering standards: in house rules, skills and relevant AI oriented documentation
• Build and evolve MCP servers and agent tooling that give our clients’ AI systems safe, accurate context into their Benji integration
• Integrate LLMs into product workflows
• Experiment with and adopt new AI dev tooling (Cursor agents, copilots, code generation workflows) to improve velocity across the team
• Write prompts, tool definitions, and guardrails that make AI output production-grade
• Champion AI native workflows across our engineering and product teams.

Who you are

• 7+ years of experience as a backend or full-stack engineer with a strong backend focus
• Comfortable owning services end-to-end - from API design through database schema, event handling, deployment, and debugging
• Strong Python backend experience and solid understanding of distributed systems
• You care about correctness in production systems and enjoy untangling integration complexity
• You’re an AI-first engineer - you already use agents and LLMs in your daily workflow, and you’re excited to help a team adopt that at scale
• You’re excited about building scalable, enterprise ready systems.

Required experience

• Strong Python backend experience (Flask or similar frameworks)
• Production experience with PostgreSQL, REST APIs, and event-driven architectures (queues, pub/sub, async consumers)
• Solid understanding of distributed systems: idempotency, retries, eventual consistency, and webhook reliability
• Experience deploying and operating services on AWS (ECS, RDS/Aurora, SQS, S3, or equivalent)
• Hands‑on experience working with LLMs and AI developer tooling as part of how you build software
• Experience building or integrating:
  • AI agents, LLM-powered workflows
  • MCPs, CLIs or similar context/tooling layers
• Familiarity with prompt design, tool use, and integrating LLMs into real product workflows
• Strong interest in making AI a first‑class part of engineering culture, not an afterthought

Nice to have

• Experience with loyalty, fintech, commerce, or API platform domains (Stripe, Plaid, Square, etc.)
• Terraform and infrastructure-as-code experience
• Elasticsearch or search/analytics read models
• Vue/TypeScript comfort for occasional full-stack work
• Experience authoring agent context
• Experience with AWS Bedrock or other managed LLM APIs in production
• OpenTelemetry / observability tooling (Coralogix, Datadog, etc.)

What makes this role unique

• You’ll own core platform services that power loyalty flows for enterprise brands—not peripheral features
• You’ll work on real integration complexity (partners, payments, webhooks) at production scale
• You’ll help define how an engineering team builds with AI, including standards, agents, MCPs, and LLM product integrations
• Small team, high ownership—you’ll see your work go live with major partners quickly.

Compensation & benefits

• Competitive salary + equity
• Health, dental, vision
• Flexible work environment

Why Benji

We’re building something ambitious: the infrastructure layer for loyalty ecosystems. If you enjoy building elegant frontend systems, crafting exceptional developer experiences, and pushing the boundaries of AI-driven development—this role is for you.